Iris Automation Inc. has raised $1.5 million to bring "sense and avoid" technology, and truly self-flying capabilities, to drones used for industrial tasks. Even for human pilots, identifying obstacles and deciding precisely how to maneuver a fast-flying aircraft around them poses a serious challenge. Iris' technology analyzes and draws insights from videos captured by cameras on-board a drone in real time. "We're designing this to work like a human pilot's vision and decision-making process," says Iris Automation CEO and cofounder Alexander Harmsen. Iris Automation, a Y Combinator company, is not alone in the quest to develop computer vision systems that can make unmanned aerial vehicles, and eventually other robotics and vehicles, truly autonomous.

Babies are remarkable at taking in knowledge about the language they hear. Even in the first few months of their lives, children begin to learn about how to pronounce words – and it seems this is a skill they never forget. A new study has shown even if a baby moves country at a young age and never learns its birth language; it will always retain some hidden knowledge of the words it heard in its early life. Babies are remarkable at taking in knowledge about the language they hear. Dr Jiyoun Choi and colleauges at Hanyang University in Seoul tested Dutch-speaking adults adopted from South Korea.

Although few details about Fanny's activism have survived, her advocacy was part of a larger, well-documented animal protection movement, which emerged in England at the tail end of the 18th century. By the second half of the 19th century, activists had set their sights on vivisection, speaking out about what they saw as barbaric laboratory practices. These activists, who were primarily women, formed anti-vivisection societies, made their case in articles and public lectures, disrupted demonstrations by prominent vivisectors, and lobbied for legislation to restrict or ban the practice.

The CIA is putting its secret history online, uploading millions of newly declassified documents. The documents include previously unseen information about the agency's hunt for UFOs and its work on the "Star Gate" project, which tried to teach humans to become psychic and see through walls. One document, for instance, describes that project in detail. It shows how the CIA recruited volunteers to go through a programme of training that would let people access information without any of the usual means, and which would be used as a weapon for which there is "no known defense". The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

Microsoft is buying a deep learning startup based in Montreal, a global hub for deep learning research. But two years ago, this startup wasn't based in Montreal, and it had nothing to do with deep learning. Which just goes to show: striking it big in the world of tech is all about being in the right place at the right time with the right idea. Sam Pasupalak and Kaheer Suleman founded Maluuba in 2011 as students at the University of Waterloo, about 400 miles from Montreal. The company's name is an insider's nod to one of their undergraduate computer science classes.

Zalando is Europe's leading online fashion platform for men, women and children. The 1000 members of Zalando's tech team are passionate about the work we do and the technologies we use to get things done, and we love to share our enthusiasm with the rest of the world. Join our Meetup group to receive news about the technical talks, workshops, and other events that we host at our Tech HQ near Alexanderplatz. Some of the topics and technologies that our team and guest speakers are likely to talk about: Scala, Python, Java, open source, Swift, Android, product/UX, React, Docker, AWS, machine learning, PostgreSQL, APIs, agile development and methodologies, and the cloud. Sure, that's a long list--but Zalando is quite a complex operation!

Scientists say they have developed an artificial intelligence (AI) programme that is capable of predicting when patients with a serious heart disorder will die with an 80% accuracy rate. Researchers from the MRC London Institute of Medical Sciences (LMS) believe the software will allow doctors to better treat patients with pulmonary hypertension by determining how aggressive their treatment needs to be. Pulmonary hypertension is a rare blood vessel disorder whereby the heart's pulmonary arteries harden, making them less efficient at pumping blood to the lungs. Around 7,000 people in the UK suffer from the condition, which left untreated can cause fatal heart failure. Pulmonary hypertension is an incurable condition that gets worse with time, with a third of patients dying within five years of being diagnosed. This means that assessing how advanced the condition is in a patient is vital for selecting the right treatment.

The department's research in Machine Learning contributes to the state-of-the-art of individual methods and algorithms as well as combinations of methods targeting particular tasks, for example, combining data-intensive methods with knowledge-based methods to produce user explanations for decision support. Our strongest contributions to the international research front until now have been within Bayesian learning and probabilistic reasoning, evolutionary learning and neural networks, and instance-based learning and case-based reasoning. In addition, we have ongoing activities at a high international level within large-scale data and information management. Over the last years there has been an increased interest in combined methods, e.g.

Say you apply for home insurance and get turned down. You ask why, and the company explains its reasoning: Your neighborhood is at high risk for flooding, or your credit is dodgy. Now imagine you apply to a firm that uses a machine-learning system, instead of a human with an actuarial table, to predict insurance risk. After crunching your info--age, job, house location and value--the machine decides, nope, no policy for you. You ask the same question: "Why?" Nobody can answer, because nobody understands how these systems--neural networks modeled on the human brain--produce their results.

MasterCard wants to use your face to help fend off fraudsters. Using a new system called MasterCard Identity Check -- or, colloquially, "selfie pay" -- the credit card company will use biometric methods like face recognition and fingerprint scans to better secure online shopping. Right now, Mastercard offers a feature that financial institutions can enable that lets customers set up a password for online payments to help prevent fraud. The new system will use the same principle, but instead of relying on a password that could be forgotten or stolen, it uses your face or fingerprint. Consumers will go through all the normal steps of filling out credit card information when making an online purchase, but this feature adds another step: The website will send a notification through an app on customers' smartphones that asks them to verify their identity.